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Toggl Track connector

Toggl Track MCP Connector – Team Hours and Utilization in One Question

Every services team runs on hours, and almost none can answer basic questions about them without a reporting ritual. Which clients ate last month; who is over capacity? Is the retainer profitable at the hours it is actually consuming? The data sits in Toggl; the answers sit behind exports.

The Toggl Track connector closes that gap. It links the AI you already use, like Claude, ChatGPT, or Copilot, to your Toggl workspaces through Mad Fish Elements, with the full API behind it: time entries, projects, clients, tasks, tags, and the detailed, summary, and weekly reports. The hours your business runs on become something you can simply ask about.

See it

What Your AI Can See

Connect your workspaces, and your AI reads the whole time picture: every time entry with its project, client, task, tags, and duration; the project and client structure that organizes them; and the reporting views (detailed, summary, and weekly) that turn entries into answers.

The questions that used to wait for month-end become immediate. "Hours by client this month" is a sentence. "Who logged the most time on the website project?" is a sentence. "Show me untagged or unassigned entries" is the hygiene question that keeps every later answer trustworthy, and it is a sentence too.

The compounding win is context. The same Gateway reads Workamajig, your ad platforms, and your warehouse, so "hours against this client versus the retainer" and "time spent on the campaign versus what it returned" stop being cross-system projects.

Do it

What Your AI Can Do

With Write access and your approval, your AI maintains the time system as well as reading it:

Time entry management

Create and correct entries, fix misassigned projects, and close the gaps that make reports lie, with every change shown first.

Structure upkeep

Create and update projects, clients, tasks, and tags as the work changes, so the taxonomy keeps up with reality.

Reports on cadence

Detailed, summary, and weekly reports on demand or on schedule: the Monday utilization brief, the month-end client rollup.

Full API reach

Anything beyond the typed operations routes through the v9 and Reports v3 passthrough, so the odd request stays supported.

A working session

Nine Minutes at Month-End

In practiceThe session that replaces the ritual: you ask, "Summary report for last month: hours by client, billable versus not." Your AI returns the rollup as a visual report. One retainer client consumed 30% over its allocation. You ask, "Break that client down by project and person." The overage is one project and mostly one person. You ask, "Any untagged entries last month?" Fourteen; it lists them. You say, "Assign the twelve from the website team to the website project." Shown, approved, fixed. Nine minutes, and the month closes on numbers you trust.

Live answers and approved work stay tied to the connected account and audit trail.
The return

What You Get Back

01

Utilization on demand

Who is over, who is under, and where the hours went, without waiting for the export.

02

Retainers kept honest

Hours against allocation, per client, whenever you ask, not just when the damage is done.

03

Clean data underneath

Untagged and misassigned entries surfaced and fixed, so every report stands on solid entries.

04

Month-end in minutes

The rollup ritual becomes a scheduled brief plus a short cleanup pass.

Use cases

One Conversation, Real Account Work

"Show hours by client for last month, billable versus non-billable."
Toggl Track

The month-end rollup as a visual report, live from Reports v3.

"Who is over 90% utilization this week?"
Toggl Track

The capacity answer before the burnout, not after.

"List untagged or unassigned time entries from the past two weeks."
Toggl Track

The hygiene sweep that keeps every other number honest.

"Reassign those website-team entries to the website project."
Toggl Track

The fix, shown and shipped on your approval.

"How do hours on the retainer compare to its allocation this quarter?"
Toggl Track

The profitability early-warning, per client, on demand.

For in-house teams

Close the expectation gap

Time data answers the resourcing questions leadership actually asks: what the team spends its week on, and whether the priorities on paper match the hours in reality. Now the answer costs a question.

For marketing teams
For agencies

Run the whole book

Hours are the margin. Utilization by person, burn by client, and retainer health on demand, across the workspace, with the same conversation that reads the client's campaigns. The month-end scramble becomes a Monday brief.

For agencies
Reports worth sharing

From Live Account to Clear Story

Ask in chat and share the dashboard without building exports or taking screenshots.

Utilization Board

Hours by person against capacity, weekly. Built for resourcing calls.

Client Burn Report

Hours by client against allocation. Built for retainer health and pricing conversations.

Project Time Summary

Where a project's hours actually went. Built for the retro and the next estimate.

The charts do the talking: bar for client and person comparison, line for burn over time, gauge for allocation used. And when your leaders want these anytime, the Data Visualization add-on turns your reports into always-current dashboards they open from a link. Ask in chat; share the dashboard.

The useful signals

The Numbers That Matter

Time data answers with a few core figures. Hours by client shows where the team's week actually went. Billable share separates the hours that earn from the hours that support. Utilization by person keeps capacity honest in both directions: the overloaded and the underused. Hours against allocation per retainer is the profitability early-warning. And untagged or unassigned entries is the hygiene number that decides whether the others can be trusted. The reading habit is weekly for utilization and hygiene, monthly for the client rollup. Clean entries first, then the answers stand. That order is why this connector treats the hygiene sweep as a first-class report and not an afterthought.

A practical start

Your First Week

Day one: connect the workspace and pull the picture. "Hours by client this month." Check it against what you believed; day two: run the hygiene sweep. "Untagged or unassigned entries, last two weeks." Fix the batch in one approval. Day three: read utilization; "Hours by person against capacity." Note who is quietly over. Day four: check one retainer. "Hours against allocation for our biggest client." If it is over, you just found the month's most important conversation. Day five: schedule the rhythm. "Monday mornings, send the utilization brief; month-end, send the client rollup." By Friday, time data went from a month-end ritual to a working instrument: clean enough to trust, current enough to act on, and delivered without anyone building a report. The hours were always being logged; now they are being heard.

Works best with

Build the Connected View

Pair Toggl with Workamajig to put tracked hours beside project budgets, which is where margin lives. Add Bill.com for the hours-to-billing line at month-end. For agencies, these three on one Gateway are the operations story in one conversation.

Clear limits

What This Connector Will Not Do

It will not surveil your team. It reports the hours people logged, the way Toggl always has; it adds no tracking of its own. It will not silently rewrite time data; corrections are shown and approved, and the audit trail records them. It will not judge productivity; it shows where hours went, and the judgment stays human. And it will not touch workspaces you did not connect.

Governance

Governed Access Your Whole Org Can Live With

Access is set per person, not per account, so Read seats see everything and change nothing while Write seats create and edit with your approval flow in front of every change. Delete access goes only to people you trust to clean up, and many teams start read-only, check answers against the platform, then widen access as the audit trail earns it.

You choose the level of human review and can change it at any time, while every action records what changed, when, and who approved it. Per-user access means Elements never stores your Toggl Track password, and your data is never harvested or resold.

Per-user accessRead / write / delete per seatFull audit trailApproval flow on every change
Setup

Setup Takes Minutes

  1. Start your trialCreate your Elements account and connect it to your AI.
  2. Link Toggl TrackSign in through the secure connection screen and choose what to connect. No code and no engineers.
  3. Set permissionsDecide who can Read, who can Write, and who can Delete. Start conservative and widen as trust builds.
  4. Ask your first question"How did we do last month?" is a complete instruction.
FAQ

Toggl Track Connector Questions

Can it fix messy historical data?

Yes, with your approval on each batch: reassign entries, apply missing tags, and correct projects. Most teams run one cleanup pass, then keep it clean with a weekly hygiene question.

Which reports does it support?

Detailed, summary, and weekly reports through Reports v3, plus anything else the v9 API exposes via passthrough. If Toggl can compute it, you can ask for it.

Does it work for approvals or invoicing?

It produces the trustworthy hours those processes need and pairs them with the systems that do the billing. Bill.com and Workamajig live on the same Gateway for exactly that reason.

Will my AI change things without asking me?

No. Your AI acts only with the permissions you set, and changes follow the review level you choose. Read-only seats cannot change anything, because the approval flow is the product working as designed.

Which AI assistants can our team use?

Your team can use Claude, ChatGPT, and Microsoft Copilot, while other AI tools can likely connect when they support MCP, the open standard for linking AI assistants to outside tools.

Is my data used to train anything?

No. Your data stays yours, so nothing is harvested and nothing is resold.

Focus on the Strategy, Delegate the Launch

The teams winning with AI are not handing their accounts to a black box; they keep the strategy and delegate the hands-on-keyboard work, while approvals and an audit trail make it safe to move fast. Connect the account you already have through the Gateway and ask the question you would normally build a report to answer.

Your first 14 days are free. Add your card to start, and cancel before the trial ends to pay nothing.